Jeffrey Derby will discuss scientific computation at the University of Minnesota in the next Quantitative Methods and Computer Science colloquium at 3 p.m. Wednesday, Dec. 8, in Room 275, Owens Science Hall.
Scientific computation is the application of high performance computing coupled with mathematical modeling to conduct research in the physical, biological, and social sciences and engineering. It is becoming an increasingly important tool in these fields, especially with the advent of parallel computing hardware and appropriate software and algorithms.
Derby is professor of chemical engineering and materials science, and director for Graduate Studies of the Scientific Computation Program at the University of Minnesota.
In this seminar, a brief overview will be presented on the history of supercomputing at the University of Minnesota and the scientific computation graduate program. A sampling of current research areas will be provided, and selected results will be presented from his research program in materials processing and computational materials research.
Derby received a B.S. in chemical engineering from California Institute of Technology, and an M.S. in chemical engineering practice and Ph.D. in chemical engineering from Massachusetts Institute of Technology. After two years at Lawrence Livermore National Laboratory, he joined the Department of Chemical Engineering and Materials Science at the University of Minnesota. In the spring of 1996, he served as an Invited Professor of the Faculty of Applied Sciences at Catholic University of Louvain, Louvain-La-Neuve, Belgium.
Derby has received numerous awards and honors including the Presidential Young Investigator Award from the National Science Foundation in 1990 and the McKnight-Land Grant Professorship from the University of Minnesota in 1991.